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DynamoDB vs Elasticsearch

DynamoDB logo

DynamoDB

Software

Fast, flexible NoSQL database service for any scale

From
On request
Rated
-
Full reviewWebsite
Elasticsearch logo

Elasticsearch

Software

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Elasticsearch has a free tier, so it costs nothing to try first.
  • Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, Elasticsearch covers Full-text Search.

Where they differ

Only the attributes on which DynamoDB and Elasticsearch actually diverge.

Attributes where DynamoDB and Elasticsearch differ
AttributeDynamoDBElasticsearch
Starting priceOn requestFree
Pricing modelusage-basedUnknown
Free tierNoYes
PlatformsAWSLinux, Windows, macOS, Docker, Kubernetes
Founded20062010

Identical on both: user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DynamoDB

  • Single-digit Millisecond Latency
  • Serverless
  • Auto-scaling
  • Global Tables
  • Point-in-time Recovery
  • Encryption
  • Streams
  • Lambda

Only in Elasticsearch

  • Full-text Search
  • Real-time Analytics
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Machine Learning
  • Kibana

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

DynamoDB

  • High-scale, variable-workload applicationsnot Elasticsearch
  • Mobile and IoT device backendsnot Elasticsearch
  • Real-time analytics and dashboardsnot Elasticsearch
  • Multi-region, globally distributed applicationsnot Elasticsearch

Elasticsearch

  • Real-time applicationsnot DynamoDB
  • Content managementnot DynamoDB
  • User profilesnot DynamoDB
  • Mobile backendsnot DynamoDB
  • Cachingnot DynamoDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DynamoDB

  • NoSQL-only; does not support complex relational queries or SQL joins
  • Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries

Elasticsearch

  • Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • No support for ACID transactions or rollbacks; updates delete and re-insert documents
  • JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale

Pricing, plan by plan

DynamoDB

On request

No published plan breakdown. See the DynamoDB review.

Elasticsearch

Free
  • Self-ManagedFree
    • Open source
    • Self-hosted
  • Elasticsearch Cloud$16.4/month
    • Managed service
    • 14-day free trial

Which should you pick?

Choose DynamoDB if

  • You need single-digit millisecond latency.
  • You work on AWS.
  • You also want serverless.
DynamoDB review

Choose Elasticsearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Docker, Kubernetes.
  • You also want real-time analytics.
Elasticsearch review

Questions people ask

Is DynamoDB or Elasticsearch better?
Neither clearly leads. DynamoDB starts at On request and Elasticsearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Elasticsearch?
Elasticsearch has a free tier; the other does not. Paid plans start at On request for DynamoDB and Free for Elasticsearch.
Does DynamoDB or Elasticsearch run on more platforms?
DynamoDB runs on AWS. Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes.
Can I use Elasticsearch for free?
Yes. Elasticsearch has a free tier, so you can try it without paying. DynamoDB starts at On request.
What is DynamoDB best used for?
DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what Elasticsearch is typically brought in for.
What can DynamoDB do that Elasticsearch cannot?
DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API. Both handle Web support.

Answered from the vendors’ own pages

Elasticsearch: Is Elasticsearch free?

Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.

Source
Elasticsearch: Can I use Elasticsearch without Kibana?

Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.

Source
Elasticsearch: Does Elasticsearch support real-time indexing?

Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.

Source
Elasticsearch: What are Elasticsearch's scaling limitations?

Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.

Source
Elasticsearch: Does Elasticsearch support transactions and rollbacks?

No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.

Source
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